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learning algorithm to analyze how experimental parameters ( 3D printing and electrospinning) affect the design. At least 3 semesters of FIU work experience or related experience outside the University with
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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to a program of lectures, seminars, concerts, and other enrichment activities designed especially for them. Adviser Dr. Deirdre Moloney, moloney@princeton.edu , 609-258-1998 Eligibility Bachelor’s
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Dr. Carney Strange Scholarship Scholarship to honor Dr. Strange’s retirement and to recognize his years of dedicated teaching and Scholarship in the College Student Personnel Program. Eligibility
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and Responsibilities The successful candidate will be expected to: Develop a nationally and internationally recognized research program with interdisciplinary connections across the CRI network at UT